import pandas as pd
from sklearn.model_selection import train_test_split

import GRA

df=pd.read_csv('./data.csv')
print(df.head())
df['diagnosis'] = df['diagnosis'].map({'M':1,'B':0})
df.drop('id',axis=1,inplace=True)
print(df)
features_mean=list(df.columns[1:11])
traindf, testdf = train_test_split(df, test_size = 0.3)
GRA.gra()